DESIGN AND IMPLEMENTATION OF ONLINE STUDENT CLEARANCE SYSTEM USING DATA MINING TECHNIQUES A STUDY OF NAITES NIGERIA. A RESEARCH PROJECT MATERIAL ON COMPUTER SCIENCE EDUCATION
ABSTRACT
It has been a difficult issues to the final year student of NAITES, when it comes to clearance, a process done by every passing out student to ensure that he or she has actually cleared the school and stand outstanding, with no charges or bills owing the school. Therefore, this research wok is design to help the school management and easy that process by developing an online clearances system for the school that will be capable of mining all the students information and payment details every mad and recorded in the students data. Therefore, the researcher will be employing one of the data mining techniques to enable this research wok scale through. Data mining remains the extraction of hidden predictive information from large database which helps in predicting future trend and behavior thereby helping management make knowledge driven decisions. With the help of data mining the system can tell if the student has actually finish his/her payment to the school or not and can decide on actions to be carried out. Structured System Analysis and Design Methodology were used in the analysis of the existing system which also provided a guide for the design of the proposed system. The designed software will serve as a more reliable and effective means of undertaking students clearance, remove all forms of delay and stress as well as enable you understand the procedures involved as well as how to do your clearance online. This project work made use of data collected from the University, materials and journals from various authors and software was developed to effectively achieve the aims of this project. In this project, the implementation of the computer-based system was carried out using PHP, CSS, APACHE and MYSQL for the database. In conclusion, the work met all the objectives intended. It is, however, recommended for use by all tertiary institutions. PHP programming language and my SQL was used in the creation of a data warehouse for student’s information and data mining tool for the retrieval of such information when needed.
CHAPTER ONE
1.0 Introduction
Data mining, is the extraction of hidden predictive information from large database, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge driven decisions. The automated, prospective analysis offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer management questions that traditionally were too time consuming to resolve. The scour databases for hidden patterns, finding predictive information those experts may miss because it lies outside their expectations.
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